Top Machine Learning Jobs in Minneapolis, MN

Develop novel AI/ML approaches for healthcare using structured and unstructured data; build and test deep learning and classical ML models; design experiments, run statistical analyses and visualizations; collaborate with stakeholders, RUAI, and engineering to deploy MLOps pipelines; produce documentation, publications, and patents; stay current with research.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

The role involves leading the design and implementation of AI/ML Voice Bot solutions, managing cloud deployments, and mentoring a team.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

Lead the architectural vision and engineering for IAM and workforce security at Coinbase, integrating security with business goals across complex cloud ecosystems and SaaS applications while mentoring teams and influencing risk strategies.

As an AI/ML Engineer, design and develop AI solutions integrated into healthcare workflows, collaborating across teams to enhance patient care using technologies like React and Python.

The AI/ML Engineer will build and operate scalable machine learning platforms and MLOps pipelines, collaborating with various teams to develop AI solutions for healthcare.

The Sr AI/ML Engineer designs and deploys generative AI and NLP solutions, develops large language models, and implements AI systems for healthcare impact.

Lead the design and development of AI/ML models for healthcare. Collaborate with business partners and other teams to ensure high-quality execution and adherence to architectural principles.

Lead the AI Platform team at Zapier, focusing on enabling product teams to ship AI/ML-powered features efficiently and safely.

Lead development of novel AI/ML solutions for healthcare using structured and unstructured data. Build and evaluate deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, collaborate with stakeholders and RUAI for compliant solutions, produce documentation/publications, and enable MLOps pipelines with engineering teams.

Lead AI/ML engineering to design, build, and deploy predictive models and reusable ML platforms. Mentor scientists and engineers, collaborate cross-functionally, ensure responsible AI compliance, and publish or patent novel methods. Drive adoption of GenAI/LLM solutions and production-grade pipelines for healthcare use cases.

Lead development of AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, ensure responsible AI compliance, produce documentation/patents/publications, and collaborate on MLOps pipelines and stakeholder integrations.

Design, develop, and deploy production-grade AI/ML models and pipelines (LLMs, RAG, Transformers). Work with agentic frameworks, scale training/inference on Databricks/PySpark, integrate solutions via Docker and REST APIs, leverage cloud services (Azure/AWS), participate in AI governance, and mentor junior engineers to deliver measurable pharmacy optimization outcomes.

Design, implement, and operate production AI/ML systems for healthcare. Own inference and delivery of ML insights, scale and monitor models, build and optimize data pipelines, apply MLOps practices, and partner with cross-functional teams to integrate AI into products.

Manage end-to-end data science projects leveraging AI and machine learning technologies, lead teams, engage stakeholders, advise on AI adoption, and customize solutions for businesses.

Develop and implement machine learning solutions using LLMs, applying fine-tuning and RAG methodologies while utilizing the Langchain framework and ensuring production-quality code.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As VP, Enterprise Data Enablement, you will drive strategies for AI-ready data management, oversee team operations, and foster collaboration across business units.

Lead delivery of AI-powered audit products: define vision and roadmap, engage customers, prioritize backlogs, collaborate with Design/Engineering/AI Labs, use metrics to drive product discovery and delivery, and automate connected audit workflows.

The Senior AI ML Engineer will develop AI systems, ensure model quality, lead architecture governance, and manage observability for healthcare solutions.

The internship involves developing applications for visualizing power grids, analyzing outages, and creating mobile solutions for monitoring KPIs using various programming languages and tools.